Microsoft Excel Data Analysis: Become a Data Analysis Expert

Sort data in ascending or descending order and filter to show relevant items in Excel, using a table created with Ctrl T and the Data tab’s sort and filter options.

Learn how to implement data validation in Microsoft Excel to restrict input by rules for numbers, dates, and text length, create drop-down lists, and prevent duplicates.

Learn to clean data in Excel using TRIM, SUBSTITUTE, and CLEAN to remove extra spaces, replace characters, and strip non-printable symbols, improving data accuracy.

Identify and remove duplicates and handle missing data in a dataset using Excel's remove duplicates tool, filtering, and if formulas to ensure clean analysis.

Explore descriptive statistics in Excel by calculating mean (average), median, and mode using built-in functions. Build and analyze a data table of salary and experience to reveal data trends.

Apply sum, count, and average functions in Excel to quickly summarize data sets, calculate totals and revenue, and derive mean insights for sales analysis.

Learn to use pivot tables and charts to summarize and visualize data in Excel. Build a pivot table from a simple dataset and create a chart with filters and labels.

Apply conditional formatting in Excel to highlight trends and anomalies with color rules, data bars, and icon sets for clearer, more actionable data insights.

Master advanced filtering and multi-level sorting in Excel to organize large datasets, using auto filter, custom filters, number filters, and multi-column sorts on a table with headers.

Master VLOOKUP, HLOOKUP, INDEX, and MATCH to quickly retrieve salaries and names from large Excel datasets, using tables and exact-match lookups for flexible data analysis.

Explore dynamic data analysis with Excel tables, enabling automatic expansion, sorting, filtering, and structured referencing. Create and customize tables, generate charts, and apply filters to drive efficient data management.

Enable and use the Excel data analysis Toolpak to perform descriptive statistics, regression, and histograms on simple data sets, including mean, median, mode, and standard deviation.

Master advanced pivot table techniques by creating calculated fields and slicers to analyze sales data, build dynamic reports, and filter results for product-level insights.

Explore how to perform correlation, regression, and ANOVA in Microsoft Excel using a simple data set of ad spend and sales, and interpret outputs like r-squared and p-values.

Learn to enable and use power pivot in excel to model large data sets, create table relationships, and build pivot tables for analysis without data duplication.

Create and customize charts in Excel to visually represent data for analysis, using column, pie, and line charts with titles, legends, data labels, and trend lines.

Learn to use sparklines and data bars in Excel to quickly visualize trends and compare values for fast data insights.

Master advanced charting in Microsoft Excel with combo charts and dynamic charts that update from a drop-down list using data validation, based on sales and profit data.

Learn to build an interactive Excel dashboard using pivot tables, charts, and slicers to visualize and filter sales data in real time.

Learn to automate repetitive Excel tasks using macros and VBA, speeding up data entry, formatting, and calculations. Record and run macros, enable the developer tab, and apply automation to datasets.

Learn how to automate Excel reports with VBA by creating a simple sales data set, enabling a macro to calculate total sales, total profit, and average, and generating dynamic reports.

Learn to use solver in Microsoft Excel to maximize total profit by setting an objective, applying constraints, and adjusting units produced and profit per unit.

Analyze multiple business scenarios in Excel using scenario manager and goal seek to compare base, best, and worst cases, optimizing price per unit and units sold to reach target revenue.